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Updated: Jul 13, 2025

Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays
Published on: June 13, 2023
Characteristics and Functionality of Cantilevers and Scanners in Atomic Force Microscopy
Andrius Dzedzickis1, Justė Rožėnė1, Vytautas Bučinskas1
1Department of Mechatronics, Robotics, and Digital Manufacturing, Vilnius Gediminas Technical University, Plytines 25, 10105 Vilnius, Lithuania.
This review examines atomic force microscopy (AFM) technical solutions, focusing on scanner, controller, and cantilever designs and operation modes. It analyzes limitations and problems in contact, noncontact, and tapping modes for enhanced AFM performance.
Area of Science:
- Materials Science
- Nanotechnology
- Physics
Background:
- Atomic Force Microscopy (AFM) is a rapidly advancing technique for nanoscale imaging and manipulation.
- AFM systems comprise scanners, controllers, and cantilevers, each critical for operation.
- Understanding the design and operational principles of AFM components is essential for optimizing its performance.
Purpose of the Study:
- To systematically review technical solutions in AFM, focusing on design and operational modes.
- To analyze the limitations and challenges associated with different AFM operational modes.
- To provide insights into the design and function of AFM cantilevers.
Main Methods:
- Systematic literature review of scientific articles published within the last 5 years.
- Analysis of technical aspects of AFM scanners, controllers, and cantilevers.
- Focus on operational modes: contact, noncontact, and tapping AFM.
Main Results:
- Recent advancements include innovative AFM control and imaging algorithms, some utilizing artificial intelligence.
- Control of cantilever dynamics can be achieved through magnetic, electrostatic, or aerodynamic forces.
- Identified limitations and problems in current AFM technical solutions across different modes.
Conclusions:
- The review highlights the importance of cantilever design and operation in AFM.
- Ongoing research focuses on advanced control algorithms and AI integration for improved AFM performance.
- Addressing technical limitations in AFM components and modes is crucial for future development.
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